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Handbook of Research on Artificial Intelligence in Human Resource Management

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Handbook of Research on Artificial Intelligence in Human Resource Management

9781839107528 Edward Elgar Publishing
Edited by Stefan Strohmeier, Professor of Management Information Systems, Chair of Management Information Systems, Saarland University, Germany
Publication Date: March 2022 ISBN: 978 1 83910 752 8 Extent: c 448 pp
This cutting-edge Handbook offers a comprehensive introduction to the emerging research field of artificial intelligence (AI) in human resource management (HRM). Broadly mapping AI fields relevant for HR, it not only considers the more well-known areas of machine learning and natural language processing, but also lesser-known fields such as affective computing and robotic process automation.

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This cutting-edge Handbook offers a comprehensive introduction to the emerging research field of artificial intelligence (AI) in human resource management (HRM). Broadly mapping AI fields relevant for HR, it not only considers the more well-known areas of machine learning and natural language processing, but also lesser-known fields such as affective computing and robotic process automation.

Expert contributors analyze the applications of machine learning in human resources, including machine learning on text data, audio and video data, social media data, and in recruiting and staffing. They also explore a range of innovative topics such as knowledge representation and reasoning, and evolutionary computing. Discussing the explainability, fairness, accountability, and legitimacy of AI in HR, chapters bring normative issues to the fore. Approaches to researching AI in HR and to employing AI in HR research are also tackled. Offering an insight into existing research on artificial intelligence in human resources, the Handbook introduces core issues and considers implications for future research.

This Handbook will be critical reading for scholars and students of human resource management, knowledge management, organizational innovation, computer science, and information systems. It will also be beneficial for practitioners in these fields.
Critical Acclaim
‘This Handbook is a must-have whether you know a little or a lot about AI and human resource management. Topics range from the highly technical for specialists to the more foundational for novices. Readers can dive in to get answers to specific questions or read the whole volume to gain a thorough grounding. AI is here to stay in human resource management. It poses many challenges for scholars and practitioners. This Handbook is a great guide for addressing those challenges.'
– Mark Lengnick-Hall, University of Texas at San Antonio, US

‘The potential for better decisions in managing people and also the conflicts between AI principles and those that have governed human resources are profound. This Handbook offers the most detailed and wide-ranging account available as to what AI solutions look like in this realm, not just those available now but most importantly those in the works.’
– Peter Cappelli, University of Pennsylvania, US

‘This Handbook provides a comprehensive overview of how AI might be deployed in the field of human resources and includes incisive analysis of some of the key challenges: explaining AIs’ decisions, fairness and legal regulation. It is a really excellent resource.’
– Andy Charlwood, University of Leeds, UK
Contributors
Contributors include: William J. Becker, Constant D. Beugré, Chulin Chen, Raphael de Barros Fritz, Carmen Fernández-Martinez, Alberto Fernández, Peter Fettke, Sandra L. Fisher, Felix Gross, Jake T. Harrison, Christopher J. Hartwell, Garret N. Howardson, Richard D. Johnson, Charlotte Köhler, Cornelius König, Richard Landers, Markus Langer, Sven Laumer, Christian Maier, Jorge Martinez-Gil, Florian Meier, Stefan Morana, Franziska Raudonat, Maarten Renkema, Dianna L. Stone, Stefan Strohmeier, Sarah E. Tuskey, Tim Weitzel, Kai von Lewinski, Lena Wolbeck, Katharina A. Zweig
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